{
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"
    }
   },
   "cell_type": "markdown",
   "id": "fb975be1-7418-4009-a6fa-9ace4ff16d3e",
   "metadata": {},
   "source": [
    "![image.png](attachment:29428bf9-9835-42b9-b731-f4b35f3e37d3.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4aa8059-7a60-462d-bbe2-f6700460366f",
   "metadata": {},
   "source": [
    "# 任务2.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e2649693-6b9d-45a7-ab09-584ed0684874",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb7b1000-d557-46c9-939e-598330923884",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>duration</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BA2200004</th>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>151</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200005</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>307</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200007</th>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>139</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200009</th>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>380</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200010</th>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241171</th>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>112</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241173</th>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>383</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241174</th>\n",
       "      <td>56</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>189</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241175</th>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>442</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241176</th>\n",
       "      <td>74</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>239</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30436 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           age  job  marital  education  default  housing  loan  contact  \\\n",
       "user_id                                                                    \n",
       "BA2200004   40    0        0          0        0        0     0        0   \n",
       "BA2200005   56    1        0          1        0        0     1        0   \n",
       "BA2200007   59    0        0          2        0        0     0        0   \n",
       "BA2200009   24    2        1          2        0        1     0        0   \n",
       "BA2200010   25    1        1          1        0        1     0        0   \n",
       "...        ...  ...      ...        ...      ...      ...   ...      ...   \n",
       "BA2241171   29    5        1          0        0        1     0        1   \n",
       "BA2241173   46    3        0          2        0        0     0        1   \n",
       "BA2241174   56    6        0          3        0        1     0        1   \n",
       "BA2241175   44    2        0          2        0        0     0        1   \n",
       "BA2241176   74    6        0          2        0        1     0        1   \n",
       "\n",
       "           month  day_of_week  duration  poutcome  y  \n",
       "user_id                                               \n",
       "BA2200004      5            1       151         0  0  \n",
       "BA2200005      5            1       307         0  0  \n",
       "BA2200007      5            1       139         0  0  \n",
       "BA2200009      5            1       380         0  0  \n",
       "BA2200010      5            1        50         0  0  \n",
       "...          ...          ...       ...       ... ..  \n",
       "BA2241171     11            5       112         2  0  \n",
       "BA2241173     11            5       383         0  0  \n",
       "BA2241174     11            5       189         0  0  \n",
       "BA2241175     11            5       442         0  1  \n",
       "BA2241176     11            5       239         1  0  \n",
       "\n",
       "[30436 rows x 13 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sDf=pd.read_excel('result1_3.xlsx',index_col=0)\n",
    "sDf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5020ed55-1c00-41d0-b624-d9bc53867fe1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>duration</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.15</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>job</th>\n",
       "      <td>0.15</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marital</th>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>education</th>\n",
       "      <td>-0.08</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>default</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>housing</th>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loan</th>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contact</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.29</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <td>0.09</td>\n",
       "      <td>0.04</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day_of_week</th>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>duration</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>poutcome</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.03</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              age   job  marital  education  default  housing  loan  contact  \\\n",
       "age          1.00  0.15    -0.10      -0.08     0.00     0.00 -0.01     0.01   \n",
       "job          0.15  1.00    -0.06      -0.01     0.00    -0.00 -0.02     0.00   \n",
       "marital     -0.10 -0.06     1.00       0.09    -0.01     0.00 -0.00     0.03   \n",
       "education   -0.08 -0.01     0.09       1.00     0.00     0.02  0.01     0.10   \n",
       "default      0.00  0.00    -0.01       0.00     1.00    -0.00 -0.00     0.01   \n",
       "housing      0.00 -0.00     0.00       0.02    -0.00     1.00  0.05     0.08   \n",
       "loan        -0.01 -0.02    -0.00       0.01    -0.00     0.05  1.00     0.01   \n",
       "contact      0.01  0.00     0.03       0.10     0.01     0.08  0.01     1.00   \n",
       "month        0.09  0.04    -0.01       0.13     0.01     0.03 -0.01     0.29   \n",
       "day_of_week -0.02 -0.01    -0.00       0.01    -0.01    -0.00  0.00    -0.02   \n",
       "duration     0.01  0.01    -0.00      -0.02    -0.01    -0.01  0.01     0.03   \n",
       "poutcome     0.05  0.03     0.02       0.02     0.00     0.02 -0.00     0.22   \n",
       "y            0.05  0.04     0.02       0.05    -0.00     0.01 -0.01     0.14   \n",
       "\n",
       "             month  day_of_week  duration  poutcome     y  \n",
       "age           0.09        -0.02      0.01      0.05  0.05  \n",
       "job           0.04        -0.01      0.01      0.03  0.04  \n",
       "marital      -0.01        -0.00     -0.00      0.02  0.02  \n",
       "education     0.13         0.01     -0.02      0.02  0.05  \n",
       "default       0.01        -0.01     -0.01      0.00 -0.00  \n",
       "housing       0.03        -0.00     -0.01      0.02  0.01  \n",
       "loan         -0.01         0.00      0.01     -0.00 -0.01  \n",
       "contact       0.29        -0.02      0.03      0.22  0.14  \n",
       "month         1.00        -0.01     -0.02      0.06  0.03  \n",
       "day_of_week  -0.01         1.00      0.01      0.01  0.01  \n",
       "duration     -0.02         0.01      1.00      0.03  0.39  \n",
       "poutcome      0.06         0.01      0.03      1.00  0.27  \n",
       "y             0.03         0.01      0.39      0.27  1.00  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sDfCorr=pd.DataFrame(sDf.corr()).round(2)\n",
    "sDfCorr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0ee19bb5-fb7b-4138-b1f5-4fb1895eb016",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13, 13)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sDfCorr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e413e838-5fc1-430f-bffc-6d1905050860",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import HeatMap\n",
    "from pyecharts.faker import Faker\n",
    "value = [[i, j, sDfCorr.iloc[i,j]] for i in range(13) for j in range(13)]\n",
    "c = (\n",
    "    HeatMap(\n",
    "        init_opts=opts.InitOpts(animation_opts=opts.AnimationOpts(animation = True))\n",
    "    )\n",
    "    .add_xaxis(\n",
    "        sDf.columns.tolist()\n",
    "    )\n",
    "    .add_yaxis(\n",
    "        \"短期数据热力图\",\n",
    "        sDf.columns.tolist(),\n",
    "        value,\n",
    "        label_opts=opts.LabelOpts(is_show=True, position=\"inside\"),\n",
    "    )\n",
    "    .set_global_opts(\n",
    "\n",
    "        title_opts=opts.TitleOpts(title=\"短期数据 HeatMap\"),\n",
    "        visualmap_opts=opts.VisualMapOpts(min_=-1, \n",
    "                                          max_=1, \n",
    "                                          is_calculable=True, \n",
    "                                          orient=\"horizontal\", \n",
    "                                          pos_left=\"center\"),\n",
    "        \n",
    "        legend_opts=opts.LegendOpts()\n",
    "    )\n",
    "        \n",
    "    \n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "070733bf-828d-4b7c-b73b-d1c3359075c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "new Promise(function(resolve, reject) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    script.onload = resolve;\n",
       "    script.onerror = reject;\n",
       "    script.src = \"https://assets.pyecharts.org/assets/v5/echarts.min.js\";\n",
       "    document.head.appendChild(script);\n",
       "}).then(() => {\n",
       "\n",
       "});"
      ],
      "text/plain": [
       "<pyecharts.render.display.Javascript at 0x16b380f5a30>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 为让在note-book中显示图\n",
    "from pyecharts.globals import CurrentConfig, NotebookType\n",
    " CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB\n",
    "c.load_javascript()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "889bf8f1-44d4-488a-8e4a-a3e74b2c7bf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!DOCTYPE html>\n",
       "<html>\n",
       "<head>\n",
       "    <meta charset=\"UTF-8\">\n",
       "</head>\n",
       "<body>\n",
       "        <div id=\"7418486d36fe4065af211a8912fb90fe\" class=\"chart-container\" style=\"width:900px; height:500px; \"></div>\n",
       "    <script>\n",
       "        var chart_7418486d36fe4065af211a8912fb90fe = echarts.init(\n",
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       "    \"animation\": true,\n",
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       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
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       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
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       "            \"label\": {\n",
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       "                \"position\": \"inside\",\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u77ed\\u671f\\u6570\\u636e\\u70ed\\u529b\\u56fe\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"age\",\n",
       "                \"job\",\n",
       "                \"marital\",\n",
       "                \"education\",\n",
       "                \"default\",\n",
       "                \"housing\",\n",
       "                \"loan\",\n",
       "                \"contact\",\n",
       "                \"month\",\n",
       "                \"day_of_week\",\n",
       "                \"duration\",\n",
       "                \"poutcome\",\n",
       "                \"y\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"age\",\n",
       "                \"job\",\n",
       "                \"marital\",\n",
       "                \"education\",\n",
       "                \"default\",\n",
       "                \"housing\",\n",
       "                \"loan\",\n",
       "                \"contact\",\n",
       "                \"month\",\n",
       "                \"day_of_week\",\n",
       "                \"duration\",\n",
       "                \"poutcome\",\n",
       "                \"y\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"text\": \"\\u77ed\\u671f\\u6570\\u636e HeatMap\",\n",
       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ],\n",
       "    \"visualMap\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"continuous\",\n",
       "        \"min\": -1,\n",
       "        \"max\": 1,\n",
       "        \"inRange\": {\n",
       "            \"color\": [\n",
       "                \"#50a3ba\",\n",
       "                \"#eac763\",\n",
       "                \"#d94e5d\"\n",
       "            ]\n",
       "        },\n",
       "        \"calculable\": true,\n",
       "        \"inverse\": false,\n",
       "        \"splitNumber\": 5,\n",
       "        \"hoverLink\": true,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"left\": \"center\",\n",
       "        \"padding\": 5,\n",
       "        \"showLabel\": true,\n",
       "        \"itemWidth\": 20,\n",
       "        \"itemHeight\": 140,\n",
       "        \"borderWidth\": 0\n",
       "    }\n",
       "};\n",
       "        chart_7418486d36fe4065af211a8912fb90fe.setOption(option_7418486d36fe4065af211a8912fb90fe);\n",
       "    </script>\n",
       "</body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x16b380f5670>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be669f67-1823-4e9e-b445-d9c23fead10c",
   "metadata": {},
   "source": [
    "# 任务2.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "80e45b04-23db-47a3-ae7f-aa9ec11ce8c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>duration</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BA2200004</th>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>151</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200005</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>307</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200007</th>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>139</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200009</th>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>380</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2200010</th>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241171</th>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>112</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241173</th>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>383</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241174</th>\n",
       "      <td>56</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>189</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241175</th>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>442</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA2241176</th>\n",
       "      <td>74</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>239</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30436 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           age  job  marital  education  default  housing  loan  contact  \\\n",
       "user_id                                                                    \n",
       "BA2200004   40    0        0          0        0        0     0        0   \n",
       "BA2200005   56    1        0          1        0        0     1        0   \n",
       "BA2200007   59    0        0          2        0        0     0        0   \n",
       "BA2200009   24    2        1          2        0        1     0        0   \n",
       "BA2200010   25    1        1          1        0        1     0        0   \n",
       "...        ...  ...      ...        ...      ...      ...   ...      ...   \n",
       "BA2241171   29    5        1          0        0        1     0        1   \n",
       "BA2241173   46    3        0          2        0        0     0        1   \n",
       "BA2241174   56    6        0          3        0        1     0        1   \n",
       "BA2241175   44    2        0          2        0        0     0        1   \n",
       "BA2241176   74    6        0          2        0        1     0        1   \n",
       "\n",
       "           month  day_of_week  duration  poutcome  y  \n",
       "user_id                                               \n",
       "BA2200004      5            1       151         0  0  \n",
       "BA2200005      5            1       307         0  0  \n",
       "BA2200007      5            1       139         0  0  \n",
       "BA2200009      5            1       380         0  0  \n",
       "BA2200010      5            1        50         0  0  \n",
       "...          ...          ...       ...       ... ..  \n",
       "BA2241171     11            5       112         2  0  \n",
       "BA2241173     11            5       383         0  0  \n",
       "BA2241174     11            5       189         0  0  \n",
       "BA2241175     11            5       442         0  1  \n",
       "BA2241176     11            5       239         1  0  \n",
       "\n",
       "[30436 rows x 13 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sDf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "9c14abd3-0846-4eb2-9d14-7d2d5fcef8e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,\n",
       "       34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,\n",
       "       51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,\n",
       "       68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,\n",
       "       85, 86, 87, 88, 89, 91, 94, 95], dtype=int64)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ageSer=sDf['age'].unique()\n",
    "ageSer.sort()\n",
    "ageSer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "20459d94-744d-4904-9714-bed0c983ee91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age\n",
       "17     2\n",
       "18    14\n",
       "19    21\n",
       "20    46\n",
       "21    84\n",
       "      ..\n",
       "88    22\n",
       "89     2\n",
       "91     2\n",
       "94     1\n",
       "95     1\n",
       "Name: y, Length: 76, dtype: int64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 各不同年龄样本数 Ser\n",
    "dAgeLNum=sDf.groupby('age').count().sort_values('age')['y']\n",
    "dAgeLNum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "e81bb215-b1ce-45bb-a4ef-da4b22db2945",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[100.0,\n",
       " 57.1,\n",
       " 52.4,\n",
       " 65.2,\n",
       " 72.6,\n",
       " 72.2,\n",
       " 78.0,\n",
       " 82.1,\n",
       " 85.2,\n",
       " 81.0,\n",
       " 86.2,\n",
       " 83.1,\n",
       " 86.3,\n",
       " 87.6,\n",
       " 88.1,\n",
       " 89.8,\n",
       " 87.8,\n",
       " 88.3,\n",
       " 89.6,\n",
       " 90.4,\n",
       " 89.7,\n",
       " 89.0,\n",
       " 90.7,\n",
       " 91.3,\n",
       " 90.1,\n",
       " 90.2,\n",
       " 90.1,\n",
       " 91.9,\n",
       " 90.9,\n",
       " 90.6,\n",
       " 92.3,\n",
       " 87.1,\n",
       " 92.8,\n",
       " 87.1,\n",
       " 87.7,\n",
       " 87.9,\n",
       " 88.7,\n",
       " 88.2,\n",
       " 89.4,\n",
       " 84.5,\n",
       " 87.9,\n",
       " 86.7,\n",
       " 81.5,\n",
       " 69.9,\n",
       " 56.2,\n",
       " 57.1,\n",
       " 70.7,\n",
       " 51.1,\n",
       " 52.8,\n",
       " 45.0,\n",
       " 61.9,\n",
       " 50.0,\n",
       " 53.3,\n",
       " 58.5,\n",
       " 60.0,\n",
       " 60.7,\n",
       " 63.0,\n",
       " 58.6,\n",
       " 60.0,\n",
       " 50.0,\n",
       " 33.3,\n",
       " 55.0,\n",
       " 41.7,\n",
       " 42.3,\n",
       " 68.8,\n",
       " 30.8,\n",
       " 46.7,\n",
       " 50.0,\n",
       " 71.4,\n",
       " 33.3,\n",
       " 0.0,\n",
       " 59.1,\n",
       " 0.0,\n",
       " 100.0,\n",
       " 100.0,\n",
       " 100.0]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_ratio=[]\n",
    "for tup in dAgeLNum.items():\n",
    "    n= sDf[(sDf['age']==tup[0]) & (sDf['y']==0)].count()['y']\n",
    "    no_ratio.append(round(n/tup[1]*100,1))\n",
    "no_ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "b448501a-5ccb-425d-8527-a3a16182cb87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!DOCTYPE html>\n",
       "<html>\n",
       "<head>\n",
       "    <meta charset=\"UTF-8\">\n",
       "</head>\n",
       "<body>\n",
       "        <div id=\"cb765c779b874a4c82d0ae53892e7cba\" class=\"chart-container\" style=\"width:900px; height:500px; \"></div>\n",
       "    <script>\n",
       "        var chart_cb765c779b874a4c82d0ae53892e7cba = echarts.init(\n",
       "            document.getElementById('cb765c779b874a4c82d0ae53892e7cba'), 'white', {renderer: 'canvas'});\n",
       "        var option_cb765c779b874a4c82d0ae53892e7cba = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"no\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                100.0,\n",
       "                57.1,\n",
       "                52.4,\n",
       "                65.2,\n",
       "                72.6,\n",
       "                72.2,\n",
       "                78.0,\n",
       "                82.1,\n",
       "                85.2,\n",
       "                81.0,\n",
       "                86.2,\n",
       "                83.1,\n",
       "                86.3,\n",
       "                87.6,\n",
       "                88.1,\n",
       "                89.8,\n",
       "                87.8,\n",
       "                88.3,\n",
       "                89.6,\n",
       "                90.4,\n",
       "                89.7,\n",
       "                89.0,\n",
       "                90.7,\n",
       "                91.3,\n",
       "                90.1,\n",
       "                90.2,\n",
       "                90.1,\n",
       "                91.9,\n",
       "                90.9,\n",
       "                90.6,\n",
       "                92.3,\n",
       "                87.1,\n",
       "                92.8,\n",
       "                87.1,\n",
       "                87.7,\n",
       "                87.9,\n",
       "                88.7,\n",
       "                88.2,\n",
       "                89.4,\n",
       "                84.5,\n",
       "                87.9,\n",
       "                86.7,\n",
       "                81.5,\n",
       "                69.9,\n",
       "                56.2,\n",
       "                57.1,\n",
       "                70.7,\n",
       "                51.1,\n",
       "                52.8,\n",
       "                45.0,\n",
       "                61.9,\n",
       "                50.0,\n",
       "                53.3,\n",
       "                58.5,\n",
       "                60.0,\n",
       "                60.7,\n",
       "                63.0,\n",
       "                58.6,\n",
       "                60.0,\n",
       "                50.0,\n",
       "                33.3,\n",
       "                55.0,\n",
       "                41.7,\n",
       "                42.3,\n",
       "                68.8,\n",
       "                30.8,\n",
       "                46.7,\n",
       "                50.0,\n",
       "                71.4,\n",
       "                33.3,\n",
       "                0.0,\n",
       "                59.1,\n",
       "                0.0,\n",
       "                100.0,\n",
       "                100.0,\n",
       "                100.0\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        },\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"yes\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                0.0,\n",
       "                42.9,\n",
       "                47.6,\n",
       "                34.8,\n",
       "                27.4,\n",
       "                27.8,\n",
       "                22.0,\n",
       "                17.9,\n",
       "                14.8,\n",
       "                19.0,\n",
       "                13.8,\n",
       "                16.9,\n",
       "                13.7,\n",
       "                12.4,\n",
       "                11.9,\n",
       "                10.2,\n",
       "                12.2,\n",
       "                11.7,\n",
       "                10.4,\n",
       "                9.6,\n",
       "                10.3,\n",
       "                11.0,\n",
       "                9.3,\n",
       "                8.7,\n",
       "                9.9,\n",
       "                9.8,\n",
       "                9.9,\n",
       "                8.1,\n",
       "                9.1,\n",
       "                9.4,\n",
       "                7.7,\n",
       "                12.9,\n",
       "                7.2,\n",
       "                12.9,\n",
       "                12.3,\n",
       "                12.1,\n",
       "                11.3,\n",
       "                11.8,\n",
       "                10.6,\n",
       "                15.5,\n",
       "                12.1,\n",
       "                13.3,\n",
       "                18.5,\n",
       "                30.1,\n",
       "                43.8,\n",
       "                42.9,\n",
       "                29.3,\n",
       "                48.9,\n",
       "                47.2,\n",
       "                55.0,\n",
       "                38.1,\n",
       "                50.0,\n",
       "                46.7,\n",
       "                41.5,\n",
       "                40.0,\n",
       "                39.3,\n",
       "                37.0,\n",
       "                41.4,\n",
       "                40.0,\n",
       "                50.0,\n",
       "                66.7,\n",
       "                45.0,\n",
       "                58.3,\n",
       "                57.7,\n",
       "                31.2,\n",
       "                69.2,\n",
       "                53.3,\n",
       "                50.0,\n",
       "                28.6,\n",
       "                66.7,\n",
       "                100.0,\n",
       "                40.9,\n",
       "                100.0,\n",
       "                0.0,\n",
       "                0.0,\n",
       "                0.0\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"no\",\n",
       "                \"yes\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 40,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u5360\\u6bd4%\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                17,\n",
       "                18,\n",
       "                19,\n",
       "                20,\n",
       "                21,\n",
       "                22,\n",
       "                23,\n",
       "                24,\n",
       "                25,\n",
       "                26,\n",
       "                27,\n",
       "                28,\n",
       "                29,\n",
       "                30,\n",
       "                31,\n",
       "                32,\n",
       "                33,\n",
       "                34,\n",
       "                35,\n",
       "                36,\n",
       "                37,\n",
       "                38,\n",
       "                39,\n",
       "                40,\n",
       "                41,\n",
       "                42,\n",
       "                43,\n",
       "                44,\n",
       "                45,\n",
       "                46,\n",
       "                47,\n",
       "                48,\n",
       "                49,\n",
       "                50,\n",
       "                51,\n",
       "                52,\n",
       "                53,\n",
       "                54,\n",
       "                55,\n",
       "                56,\n",
       "                57,\n",
       "                58,\n",
       "                59,\n",
       "                60,\n",
       "                61,\n",
       "                62,\n",
       "                63,\n",
       "                64,\n",
       "                65,\n",
       "                66,\n",
       "                67,\n",
       "                68,\n",
       "                69,\n",
       "                70,\n",
       "                71,\n",
       "                72,\n",
       "                73,\n",
       "                74,\n",
       "                75,\n",
       "                76,\n",
       "                77,\n",
       "                78,\n",
       "                79,\n",
       "                80,\n",
       "                81,\n",
       "                82,\n",
       "                83,\n",
       "                84,\n",
       "                85,\n",
       "                86,\n",
       "                87,\n",
       "                88,\n",
       "                89,\n",
       "                91,\n",
       "                94,\n",
       "                95\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u5e74\\u9f84\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"text\": \"Bar-XY \\u8f74\\u540d\\u79f0\",\n",
       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ],\n",
       "    \"visualMap\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"continuous\",\n",
       "        \"min\": 0,\n",
       "        \"max\": 100,\n",
       "        \"inRange\": {\n",
       "            \"color\": [\n",
       "                \"#50a3ba\",\n",
       "                \"#eac763\",\n",
       "                \"#d94e5d\"\n",
       "            ]\n",
       "        },\n",
       "        \"calculable\": true,\n",
       "        \"inverse\": false,\n",
       "        \"splitNumber\": 5,\n",
       "        \"hoverLink\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"padding\": 5,\n",
       "        \"showLabel\": true,\n",
       "        \"itemWidth\": 20,\n",
       "        \"itemHeight\": 140,\n",
       "        \"borderWidth\": 0\n",
       "    }\n",
       "};\n",
       "        chart_cb765c779b874a4c82d0ae53892e7cba.setOption(option_cb765c779b874a4c82d0ae53892e7cba);\n",
       "    </script>\n",
       "</body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x16b3da1f0d0>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Bar\n",
    "from pyecharts.faker import Faker\n",
    "\n",
    "choose=ageSer.tolist()\n",
    "\n",
    "d = (\n",
    "    Bar()\n",
    "    .add_xaxis(choose)\n",
    "    .add_yaxis(\n",
    "        \"no\", \n",
    "        no_ratio,\n",
    "        # bar_width=20\n",
    "    )\n",
    "    .add_yaxis(\"yes\", (100-pd.Series(no_ratio)).round(1).tolist())\n",
    "    .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title=\"Bar-XY 轴名称\"),\n",
    "        yaxis_opts=opts.AxisOpts(name=\"年龄\"),\n",
    "        xaxis_opts=opts.AxisOpts(name=\"占比%\"),\n",
    "        visualmap_opts=opts.VisualMapOpts(\n",
    "            min_=0,\n",
    "            max_=100\n",
    "\n",
    "            \n",
    "        ),\n",
    "        legend_opts=opts.LegendOpts(\n",
    "\n",
    "                item_gap=40\n",
    "        )\n",
    "    )\n",
    ")\n",
    "d.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b55b5f08-3f28-4dfa-a730-f62417fd5865",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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